WikiNEuRal: Combined Neural and Knowledge-based Silver Data Creation for Multilingual NER. - Simone Tedeschi; Valentino Maiorca; Niccolò Campolungo; Francesco Cecconi; Roberto Navigli (EMNLP (Findings), 2021)

Metric Based Few-Shot Graph Classification. - Donato Crisostomi; Simone Antonelli; Valentino Maiorca; Luca Moschella; Riccardo Marin; Emanuele Rodolà (LoG, 2022)

Accelerating Transformer Inference for Translation via Parallel Decoding. - Andrea Santilli; Silvio Severino; Emilian Postolache; Valentino Maiorca; Michele Mancusi; Riccardo Marin; Emanuele Rodolà (ACL (1), 2023)

Bootstrapping Parallel Anchors for Relative Representations. - Irene Cannistraci; Luca Moschella; Valentino Maiorca; Marco Fumero; Antonio Norelli; Emanuele Rodolà (Tiny Papers @ ICLR, 2023)

Relative representations enable zero-shot latent space communication. - Luca Moschella; Valentino Maiorca; Marco Fumero; Antonio Norelli; Francesco Locatello; Emanuele Rodolà (ICLR, 2023)

Attention-likelihood relationship in Transformers. - Valeria Ruscio; Valentino Maiorca; Fabrizio Silvestri (Tiny Papers @ ICLR, 2023)

Latent Space Translation via Semantic Alignment. - Valentino Maiorca; Luca Moschella; Antonio Norelli; Marco Fumero; Francesco Locatello; Emanuele Rodolà (NeurIPS, 2023)

ASIF: Coupled Data Turns Unimodal Models to Multimodal without Training. - Antonio Norelli; Marco Fumero; Valentino Maiorca; Luca Moschella; Emanuele Rodolà; Francesco Locatello (NeurIPS, 2023)

From Bricks to Bridges: Product of Invariances to Enhance Latent Space Communication. - Irene Cannistraci; Luca Moschella; Marco Fumero; Valentino Maiorca; Emanuele Rodolà (ICLR, 2024)

Latent Functional Maps: a spectral framework for representation alignment. - Marco Fumero; Marco Pegoraro 002; Valentino Maiorca; Francesco Locatello; Emanuele Rodolà (NeurIPS, 2024)

Zero-Shot Stitching in Reinforcement Learning using Relative Representations. - Antonio Pio Ricciardi; Valentino Maiorca; Luca Moschella; Riccardo Marin; Emanuele Rodolà (CoRR, 2024)

Scalable unsupervised alignment of general metric and non-metric structures. - Sanketh Vedula; Valentino Maiorca; Lorenzo Basile; Francesco Locatello; Alexander M. Bronstein (CoRR, 2024)

Latent Functional Maps. - Marco Fumero; Marco Pegoraro 002; Valentino Maiorca; Francesco Locatello; Emanuele Rodolà (CoRR, 2024)

Latent Space Translation via Inverse Relative Projection. - Valentino Maiorca; Luca Moschella; Marco Fumero; Francesco Locatello; Emanuele Rodolà (CoRR, 2024)

Sparse Vicious Attacks on Graph Neural Networks. - Giovanni Trappolini; Valentino Maiorca; Silvio Severino; Emanuele Rodolà; Fabrizio Silvestri; Gabriele Tolomei (IEEE Trans. Artif. Intell., 2024)

ResiDual Transformer Alignment with Spectral Decomposition. - Lorenzo Basile; Valentino Maiorca; Luca Bortolussi; Emanuele Rodolà; Francesco Locatello (Trans. Mach. Learn. Res., 2025)

Mapping representations in Reinforcement Learning via Semantic Alignment for Zero-Shot Stitching. - Antonio Pio Ricciardi; Valentino Maiorca; Luca Moschella; Riccardo Marin; Emanuele Rodolà (CoRR, 2025)